Robust coding schemes for indexing and retrieval from large face databases

This paper introduces two new coding schemes, the probabilistic reasoning models (PRM) and the enhanced FLD (Fisher linear discrimimant) models (EFM), for indexing and retrieval from large image databases with applications to face recognition. The unifying theme of the new schemes is that of lowering the space dimension (“data compression”) subject to increased fitness for the discrimination index.